262 Reinforcement Learning Jobs - Page 8

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. The mission of AryaXAI is to create AI tools that empower researchers, engineers, and organizations, including banks, financial institutions, and large enterprises, to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. The team at AryaXAI thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. Each team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that the work not only advances technology but also meets the rigorous demands of regulated sectors. As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You will lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities include: - Model Evaluation & Customization - Architectural Assessment - Enterprise Integration - Advanced AI Techniques - Specialization & Innovation - Collaboration & Quality Assurance - Documentation & Compliance Qualifications: - Educational & Professional Background - Regulated Industry Experience (FS, Banking or Insurance is preferred) - Technical Expertise - Diverse Data Handling - Deployment Proficiency - Publications & Contributions A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors, is required. The ideal candidate will have a proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.) is essential. Experience working with varied data types, including textual, tabular, categorical, and image data, and the ability to develop models that handle complex, enterprise-level datasets is also required. Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems, is a key qualification. Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.,

You are a seasoned Staff Data Scientist with over 8 years of experience in Data Science/ML, specializing in Generative AI, Large Language Models (LLMs), and deep learning. Your role at PhysicsWallah involves leading and driving innovation in Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning. You will collaborate closely with cross-functional teams to create next-gen AI solutions that enhance content generation, adaptive learning, and personalized experiences for millions of learners. As a Staff Data Scientist at PhysicsWallah, your key responsibilities include designing and developing advanced AI/ML solutions using LLMs, RAG, and RL techniques, fine-tuning and customizing models for PW-specific education scenarios, building scalable pipelines for training and deployment of GenAI models, integrating models into real-world applications, conducting experiments and testing to enhance model performance, staying updated on GenAI trends to influence internal strategies, and mentoring junior data scientists while promoting best practices within the AI team. You should possess expertise in Retrieval-Augmented Generation (RAG) architectures, transforming transformer-based models like BERT, GPT, LLaMA, and Mistral, hands-on experience in Reinforcement Learning with a focus on RLHF or similar approaches, proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, and Ray, strong knowledge of cloud platforms like AWS/GCP and MLOps for scalable AI model deployment, a track record of deploying ML models in production environments, excellent communication skills, and the ability to work in cross-functional environments. Preferred qualifications for this role include published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, and exposure to vector databases like FAISS, Pinecone, and Weaviate, as well as semantic search systems. Join PhysicsWallah and be part of a mission-driven organization that aims to make quality education accessible to all. You will have the opportunity to work on cutting-edge GenAI challenges with significant real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now.,

The company you will be joining, TechGlobal, is a renowned global leader in strategy, technology consulting, and digital services, operating in over 100 countries. TechGlobal is dedicated to assisting businesses in embracing cutting-edge solutions for their digital transformation, aiming to make them digital-first and digital-ready. With a workforce of over 600,000 employees globally, including 200,000 in India, the company has a strong presence in the country with development centers in more than 10 locations across Tier 1 and Tier 2 cities. TechGlobal is known for its people-centric and employee-friendly policies, offering hybrid work options and flexible location choices due to its extensive Pan India presence. Your role at TechGlobal will involve developing applications and systems that leverage AI tools and Cloud AI services, ensuring the creation of cloud or on-prem application pipelines with production-ready quality. You will be expected to integrate GenAI models into the solutions, exploring areas such as deep learning, neural networks, chatbots, and image processing. Key Responsibilities: - Lead research and development in agentic architectures, autonomous agents, human-agent collaboration, and model/agent drift detection. - Design and prototype autonomous agents for practical applications like enterprise automation, digital assistants, and healthcare autonomous agents. - Collaborate with solutioning, delivery, and engineering teams to incorporate agentic capabilities into scalable systems for various industries. - Work with the Responsible AI team to embed policies in the solutions, collaborate with consulting teams to provide technical expertise in AI, and engage with academia and industry partners for advancing research boundaries. - Share innovative research findings in top AI forums and conferences. - Develop a strong AI talent pool and promote a culture of continuous learning within the organization, while mentoring a team of researchers and engineers. - Provide consulting and solutioning support for complex client issues by leveraging niche AI skills and utilizing advanced frameworks and accelerators. Skills Required: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutions like IITs, IISc, IIIT, or ISI. - A total of 12-20 years of experience with at least 5 years of relevant experience post-PhD. - Profound expertise in reinforcement learning, autonomous agents, and multi-agent systems. - In-depth understanding of LLMs and their application in agentic workflows. - Hands-on experience with frameworks such as LangChain, AutoGPT, or similar tools. - Demonstrated history of innovation and publications. Qualifications & Experience: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from esteemed institutions like IITs, IISc, IIIT, or ISI. - 12 to 20 years of overall experience in relevant fields.,

Armada is an edge computing startup dedicated to providing computing infrastructure to remote areas with limited connectivity and cloud infrastructure. Our mission is to bridge the digital divide by deploying advanced technology infrastructure globally. We are seeking passionate AI Engineers to join our team and work on exciting AI and ML challenges in diverse locations around the world. As an AI Engineer at Armada, you will be responsible for developing ML/DL models tailored to specific challenges, preparing datasets, evaluating model performance, and deploying solutions in production environments. Ideal candidates will have expertise in machine learning, deep learning, and real-time computer vision techniques. Experience with containerization, microservices architecture, and deploying ML models independently is essential for this role. This role is office-based at our Trivandrum, Kerala office. Key responsibilities include translating business requirements into AI/ML model requirements, building AI/ML/DL models using state-of-the-art algorithms, testing and evaluating models, and deploying them in production environments. You will also work with customers and internal teams to refine model quality and establish continuous learning pipelines. The ideal candidate will have a BS or MS degree in computer science or related field, along with 5+ years of software development experience. Proficiency in Python, Java, and/or C/C++, as well as expertise in traditional statistical machine learning and deep learning techniques, is required. Experience with major deep learning frameworks (e.g., PyTorch, Tensorflow) and solving real-world problems with machine learning is highly desirable. Preferred experience includes building software for autonomous systems, working with container platforms like Kubernetes, and strong analytical and time-management skills. We offer a competitive salary and equity options for India-based candidates, providing an opportunity to share in Armada's success and growth. If you are a self-driven individual with a passion for cutting-edge AI and thrive in a fast-paced, collaborative environment, we encourage you to apply. Join our dynamic AI Engineering team and contribute to developing disruptive edge-compute systems with real-world applications. At Armada, we are committed to equal opportunity and value teamwork, innovation, and a results-driven approach.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

Responsibilities: Develop RL (PPO, SAC, TD3) in PyTorch, train in Isaac Sim/Lab, apply sim2real. Integrate with ROS 2, Jetson, real robots. Strong Python, RL, control skills. Hands-on in Isaac tools, ROS 2. Preferred: Jetson, sim2real, MPC/OSC.

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities - Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. - Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. - Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. - Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). - Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. - Conduct research and stay up to date with the latest advancements in generative and agentic AI. - Ensure ethical, safe, and responsible AI development practices. Required Qualifications - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. - Proficiency in Python and ML frameworks such as PyTorch - Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. - Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). - Experience with AWS and Snowflake services - Prior Healthcare experience - Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. - Excellent problem-solving and communication skills. Required Skills Artificial Intelligence,Digital Platform,Machine Learning,Python

As a Junior ML Developer in our Artificial Intelligence team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to drive our innovative products and solutions. With 1 to 3+ years of experience, you will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to create scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models, preprocessing and analyzing large datasets, developing features to enhance model accuracy, evaluating model performance, deploying models into production environments, staying updated with the latest advancements in machine learning, collaborating with various teams to integrate machine learning capabilities, and maintaining comprehensive documentation for models, algorithms, and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, expertise in handling large datasets and working with SQL and NoSQL databases, proficiency in developing, training, and deploying machine learning models, strong communication skills, the ability to work effectively in a team-oriented environment, experience with cloud platforms like AWS, Google Cloud, or Azure, knowledge of NLP, computer vision, or reinforcement learning, and familiarity with MLOps practices and tools. This position is based in Indore, MP, and involves working from the office. You should be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you are passionate about machine learning and eager to contribute to cutting-edge AI solutions, we encourage you to apply from the mentioned locations.,

As an AI Engineer at Armada, you will be part of a cutting-edge edge computing startup dedicated to providing advanced technology infrastructure to remote areas with limited connectivity and cloud infrastructure. Your role will involve harnessing the power of AI to revolutionize operations and enhance lives in some of the most isolated regions globally. You will have the opportunity to work on a diverse array of AI and ML challenges on a global scale, from the mines of Australia to the oil fields of Northern Canada and the coffee plantations of Colombia. Ideal candidates will be passionate about AI and possess expertise in machine learning, deep learning, and real-time computer vision techniques. Your responsibilities will include translating business requirements into AI/ML model requirements, preparing and evaluating datasets, building models using state-of-the-art algorithms such as transformers, testing and benchmarking model quality, and deploying models in production environments. Additionally, you will collaborate with customers and internal teams to refine model quality and establish continuous learning pipelines. To qualify for this role, you should hold a BS or MS degree in computer science or a related technical field, have at least 5 years of software development experience with proficiency in Python, Java, or C/C++, and possess hands-on expertise in machine learning techniques and algorithms. Experience with deep learning frameworks such as PyTorch and TensorFlow, as well as familiarity with containers and modular software design, is essential. Preferred qualifications include experience in building software for autonomous systems, producing computationally efficient software for real-time applications, and a background in container platforms like Kubernetes. Strong analytical, time-management, and communication skills are also highly valued. If you are a self-driven individual with a passion for cutting-edge AI technologies and a desire to tackle challenging AI and ML problems, Armada offers a dynamic environment where you can contribute to the development of high-performance computing solutions for various industries. Join us in bridging the digital divide and empowering AI systems to interact with the real world seamlessly and securely. In return, Armada offers a competitive base salary and equity options for India-based candidates, providing an opportunity to share in the success and growth of the company. If you are a go-getter with a growth mindset, a detail-oriented problem-solver, and a collaborative team player who thrives in a fast-paced environment, we want to hear from you. Apply now and be part of our mission to revolutionize edge computing with AI.,

As a Staff Data Scientist at PhysicsWallah (PW), you will play a pivotal role in driving innovation in Generative AI and advanced Machine Learning (ML) to enhance personalized and scalable learning outcomes for students across Bharat. With your expertise and experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning, you will lead the design and development of cutting-edge AI solutions that power intelligent content generation, adaptive learning, and personalized experiences for millions of learners. Your responsibilities will include collaborating with cross-functional teams to create next-gen AI solutions using LLMs, RAG, and RL techniques. You will fine-tune and customize models for PW-specific education use cases, architect scalable pipelines for model training and deployment, integrate models into real-world applications, conduct rigorous experimentation and testing to enhance model performance, and stay updated with the latest trends in AI frameworks and research. To excel in this role, you will need a minimum of 8 years of hands-on experience in Data Science/ML, with a recent focus on GenAI, LLMs, and deep learning. Proficiency in RAG architectures, transformer-based models, Reinforcement Learning, Python, ML frameworks such as PyTorch and TensorFlow, cloud platforms like AWS/GCP, and MLOps for scalable AI model deployment is essential. Your track record of shipping ML models into production environments, strong communication skills, and ability to work in cross-functional settings will be crucial. If you have published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, exposure to vector databases and semantic search systems, and are driven by a passion to make quality education accessible to all, then joining PW will provide you with an opportunity to work on cutting-edge GenAI problems with a large-scale real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now and contributing to our mission of democratizing learning and transforming the way students access affordable, high-quality education.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

As an experienced Machine Learning Engineer with 5 to 7 years of experience in Pune, you will play a crucial role in developing, training, and fine-tuning Machine Learning models for AI/ML applications. Your responsibilities will include designing and implementing data pipelines for data processing, model training, and inference. You will be tasked with deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will be an essential part of your role. Additionally, you will be expected to research and implement various ML and AI techniques to improve performance. To excel in this position, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, and PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, is required. Familiarity with Docker and container-based deployments for creating cloud-agnostic products is essential. A strong understanding of AI and Machine Learning concepts, including Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning, is crucial. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is expected. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be beneficial, along with an understanding of various Statistical models.,

As a Python Developer, you will collaborate closely with the engineering team to design, develop, and deploy software solutions, primarily focusing on Agentic AI applications. Your role involves contributing to the creation of intelligent systems that operate autonomously and make data-driven decisions. This hands-on position requires a combination of technical skills and a passion for building innovative AI-driven products. Your key responsibilities will include developing and maintaining Python-based applications that emphasize Agentic AI models and solutions. You will work alongside data scientists and machine learning engineers to integrate AI models into production systems. Additionally, you will design, implement, and test software that interacts with large datasets, applying Agentic AI techniques to enhance decision-making processes. Your role will also involve optimizing and scaling AI systems to ensure high performance and reliability, as well as integrating AI solutions with various platforms and tools for end-to-end product deployment. Participation in code reviews, debugging, and troubleshooting will be essential to maintain a high standard of code quality. It is crucial to stay updated with the latest advancements in Agentic AI, machine learning, and Python technologies to continually enhance development processes. The required skills and qualifications for this role include a minimum of 2 years of professional experience in Python development. Hands-on experience with Agentic AI, such as reinforcement learning, decision-making algorithms, and autonomous systems, is essential. A strong understanding of AI models and their real-world applications is necessary, along with familiarity with Python libraries like TensorFlow, PyTorch, scikit-learn, and NumPy. Proficiency in working with APIs, databases, and version control systems like Git is also required. Strong problem-solving abilities and a drive to create scalable and efficient systems are key qualities for this position. Effective communication skills are essential to collaborate successfully with cross-functional teams. Preferred qualifications for this role include experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying Python-based applications. Knowledge of agent-based modeling and multi-agent systems, as well as familiarity with Docker, Kubernetes, or other containerization technologies, would be advantageous.,

The job requires a candidate with over 5 years of experience in modeling, developing, and validating robotics/agent-oriented software solutions. You should possess core statistical and graphical modeling skills and have the ability to train and develop transformer-based models for technology and image processing. Experience with reinforcement learning is also preferred. The position is based in Hyderabad, Bangalore, Kolkata, Mumbai and follows a hybrid work model. The ideal candidate should be available to join immediately or have a notice period of one month. If you meet the above requirements and are looking to work on cutting-edge software solutions in a dynamic environment, this role could be a great fit for you.,

As a Lead AI Engineer at our company, you will be responsible for managing projects, clients, and teams with ease while inspiring confidence. You will have the opportunity to work with foreign clients and diverse cross-functional teams. We are seeking an individual with proven experience as an AI Developer, possessing a strong understanding of machine learning algorithms such as regression, clustering, neural networks, and decision trees. In this role, you will work with AI/ML frameworks like TensorFlow, PyTorch, Keras, and be proficient in programming languages such as Python, R, or other languages used for AI development. Familiarity with data science libraries like Pandas, NumPy, and Scikit-learn is essential. Knowledge of NLP, computer vision, or reinforcement learning would be a plus. Experience with cloud platforms like AWS, Azure, and Google Cloud, as well as deploying AI solutions in production, is also required. Your responsibilities will include developing, training, and optimizing machine learning models and AI systems. You will collaborate with data scientists, software engineers, and product managers to integrate AI models into existing applications. Building AI-powered tools, platforms, and applications will be a key part of your role. You will research and implement machine learning algorithms for classification, prediction, recommendation, and NLP, while also monitoring model performance and performing necessary tuning and updates. As a Lead AI Engineer, you will be expected to write clean, scalable, and efficient code for AI algorithms, stay updated with the latest AI/ML trends, tools, and frameworks, and conduct data preprocessing and feature engineering to ensure data quality for AI applications. Troubleshooting AI-related issues, improving model accuracy, and communicating effectively with external partners, customers, and product owners will also be part of your responsibilities. The ideal candidate will have an innovative and detail-oriented approach to problem-solving, excel at communicating with internal teams and external partners, and be a resourceful problem solver capable of finding solutions and navigating challenges in ambiguous situations. If you are passionate about AI engineering and possess the required skills and experience, we encourage you to apply for this exciting opportunity.,

Responsibilities : Serve as expert in Machine Learning, develop framework to build Production grade AI/ML models. Apply AI/ML to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Deep knowledge in AI/ML algorithms e.g. Regression, Classification, Clustering, Time Series, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in using some of the following techniques for business problems/projects: Linear & Logistic Regression, Decision Trees, Random Forests, K-nearest neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN/LSTM. Hands-on in programming languages Python/R, Spark or Scala, SQL. Hands-on in AI/ML frameworks and libraries (e.g. TensorFlow, Keras, PyTorch). Hands-on in Azure cloud AI/ML services. Expert in Statistical Modelling & Algorithms e.g. Hypothesis testing, Sample size estimation, A/B testing. Good knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc., Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Some experience with Optimization Solvers (Gurobi, Cplex) and Algebraic Programming Languages(PulP). Experience in deploying and monitoring classical ML models in production, delivering data products to end-users, good knowledge in DevOps/MLOps - CI/CD pipelines. Good to have experience in data processing frameworks e.g. Apache Spark, Hadoop, Databricks.

Description Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, were shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Software Development Engineer II (AI) who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. The purpose for this role, would be to build agents for the platform, automating areas around support engineering and data engineering. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform team to help them successfully integrate the agent capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. What You Need 3+ years of experience in Software Engineering, with experience inbuilding APIs, who understand how APIs function, and can effectively develop applications. Familiarity with Prompt Engineering and working experience in fine tuning LLMs Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering. Hands-on with Vector Databases such as ChromaDB, FAISS etc. Experience in Reinforcement learning (RL), specially for autonomous agents. Working experience with Embedding models and RAG design. Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django) Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare. Preferred Skills Python - Building highly scalable and performant applications LLM - Deep experience in working and fine tuning LLM Models Re-inforcement Learning and MAS Vector Databases Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

Quale Infotech is a company focused on Intelligent Process Automation (IPA), AI and other new-age technologies. Our AI innovation hub is one of the leading research sites for new age technologies. IPA practice at Quale Infotech is one of the largest and most respected with experts having decades of experience. Your role will be to be a pro-active member of our AI team working with on cutting-edge data science & analytics projects. This role involves leveraging machine learning, artificial intelligence, and big data technologies to build intelligent analytics solutions that drive business insights and decision-making. Key Responsibilities: Design, develop, and implement advanced machine learning models and AI-driven features for an analytics platform. Work with large-scale structured and unstructured data to extract meaningful insights and improve predictive capabilities. Collaborate with software engineers and product teams to integrate AI solutions into the analytics platform. Optimize model performance, scalability, and real-time processing capabilities. Develop and maintain data pipelines for efficient data processing and transformation. Research and stay updated with the latest advancements in AI, machine learning, and data science techniques. Provide technical leadership in best practices for AI/ML model deployment, monitoring, and lifecycle management. Required Skills & Qualifications: Minimum Masters in Data Science, Machine Learning, Computer Science, Mathematics, or a related field. Profeciency in RAG Proficiency in Python, R, or Scala and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies such as Apache Spark, Hadoop, or Databricks. Strong understanding of NLP, deep learning, reinforcement learning, and AI algorithms. Strong problem-solving and analytical skills with a passion for AI-driven innovation.,

Location: Anywhere in the World Permanent Remote (Europe, Latam, Asia ) Contract length -6 Months Opportunity- Full Time, 8 hours, Must-Have Total Years Of exp- 4+ years experience mandatory Mandatory Skills: Rust - min 3 yrs, CI/CD - min 3 yrs, Git - min 3 yrs About The Role We are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs Key Responsibilities Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training. Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback. Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the models learning process. Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process. Provide insights into how human feedback can be systematically incorporated into model training and improvement. Document processes and best practices for providing and integrating human feedback in LLM training. Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction. Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks. Requirements Technical Skills: 3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency. Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable. Experience with human-computer interaction, user feedback systems, or similar domains is a plus. Proficiency with version control systems (e.g., Git) and CI/CD pipelines. Analytical Skills: Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks. Experience in evaluating and providing constructive feedback on AI/ML outputs. Skills: problem-solving,rust,performance optimization,learning,machine learning,problem-solving skills,cd,reinforcement learning,reinforcement,systems programming,human-computer interaction,concurrency,ci/cd,ci/cd pipelines,analytical skills,ai/ml,git,user feedback systems,version control systems,ci,

The Machine Learning Engineer role focuses on enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems efficiently. You will have the opportunity to create exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Immersion in cutting-edge ML technologies, tools, and processes is a key aspect, contributing to the advancement of technical objectives and architectural initiatives. As an ML Engineer, your responsibilities include designing and developing machine learning models and algorithms tailored to various applications. Implementation and optimization of these models are crucial tasks, alongside collaborating with cross-functional teams to integrate the models into production systems effectively. Staying updated with the latest advancements in machine learning and AI technologies is essential to ensure solutions remain cutting-edge and effective. Your tasks will involve: - Developing, implementing, and optimizing machine learning models for applications such as predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering. - Utilizing state-of-the-art machine learning and deep learning technologies for multilingual text classification, language modeling, and multi-modal learning. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions. - Conducting thorough exploratory data analysis to uncover patterns, trends, and valuable insights. - Deploying machine learning models into production environments using AWS services and implementing scalable solutions for real-time and batch predictions. Required Skills and Qualifications: - Bachelor's degree in computer science, Engineering, Statistics, or a related field. - 5+ years of working experience in advanced machine learning areas like computer graphics, reinforcement learning, recommendation systems, and natural language processing. - Proficiency in Python programming and experience with PyTorch, TensorFlow, or similar frameworks. - Experience in designing and implementing machine learning-based solutions, including online safety, conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. - Strong machine learning, statistical, and analytical skills. What We Offer: - Bootstrapped and financially stable with high pre-money evaluation. - Above industry remunerations. - Additional compensation tied to Renewal and Pilot Project Execution. - Additional lucrative business development compensation. - Opportunity to work closely with industry experts driving strategy with data and analytics. - Firm building opportunities for holistic professional development, growth, and branding. - Empathetic, excellence, and result-driven organization that believes in mentoring and growing a team with a constant emphasis on learning.,

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,

Job Description: We are seeking a highly skilled AI ML engineer with machine learning and Python experience Knowledge on end to end architecture of Data Science and machine learning project Experience in productionizing machine learning models and guide development team for implementing machine learning use cases The ideal candidate will have a strong background in AI ML service deployed cloud infrastructure and a comprehensive understanding of data engineering and MLOps practices Key Responsibilities: Data collection profiling EDA data preparation AI Model development tuning validation Visualization tools e g PowerBI tableau Present findings to business users project management teams Propose ML based solution approaches and estimates for new use cases Experience in ML algorithms NLP GenAI based solutions Supervised Unsupervised Reinforcement learning Collaborate with data scientists and engineers to support ML model training evaluation and deployment Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP Apply advanced MLOps practices to streamline model deployment monitoring and lifecycle management Technical Requirements: Proficiency in Python for data processing automation tasks and model development Strong understanding of ML model training evaluation and deployment Proficiency in GenAI based solution development Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP Experience in python based web application for AI ML use cases Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Machine Learning->Python

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

The IT Technical Engineer Act as a technical software expert, accountable for software development including the research, design, programming, and testing of operating or new software. Supporting business and IT to adapt digital technologies faster and to improve application or solution performance. Skills Required: Typically 1-2 years of professional experience. . Programming Languages Python Widely used for machine learning, automation, and data analysis tasks. R Popular for data analysis and statistics, commonly used in machine learning. 2. Machine Learning Concepts Supervised, Unsupervised, and Reinforcement Learning Understanding these core techniques is essential. Model Evaluation Metrics Knowledge of metrics like accuracy, precision, recall, F1-score, ROC-AUC, etc. Model Overfitting and Underfitting Understanding how to test for and mitigate these issues. Feature Engineering Knowledge of how to create meaningful features for ML models. 3. Testing Knowledge Test Automation Proficiency in creating test scripts for AI/ML models to validate the functionality, performance, and accuracy of models. Unit Testing Writing unit tests for machine learning pipelines and algorithms. Integration Testing Ensuring the integration of different components like data processing pipelines, model training, and prediction services work as expected. Regression Testing Ensuring that new code does not break existing functionality. Performance Testing Validating the efficiency of models and ensuring that they perform well in real-world environments. Responsibilities : Design, implement, and execute test cases for AI/ML models. Conduct performance, stress, and regression testing for models. Ensure data quality and validation for training and testing datasets. Test model robustness to ensure reliability in various edge cases. Collaborate with Data Scientists and AI Engineers to ensure the quality of model outputs. Implement automated testing frameworks specific to AI/ML applications. Conduct ongoing monitoring and reporting of model performance post-deployment. Validate the fairness and compliance of models with ethical and regulatory standards.